TITLE:
A comparison of four smartphone brands Samsung, Apple, Google, Oneplus using a one-way ANOVA (Analysis of Variance) single-factor method.
Author: Mayur Gunjal
Introduction:
In the fiercely competitive smartphone industry, customer satisfaction plays a vital role in a brand’s success. Brands compete by offering products that appeal to users in terms of performance, features, design, and price. In this research, we compare customer ratings for four smartphone brands Samsung, Apple, Google, Oneplus to analyze their market reception.
Objective:
The objective of this study is to compare customer satisfaction ratings of four smartphone brands.
Data Collection:
The ratings were collected from multiple respondents, who evaluated each of the four brands based on their experience. Each brand was rated on a scale from 1 to 5.
Data Analysis:
A one-way ANOVA (Analysis of Variance) test was conducted to determine if there is a statistically significant difference between the ratings of the four smartphone brands. The hypotheses for the ANOVA test are:
- Null Hypothesis (H0): All smartphone brands have the same customer ratings.
- Alternative Hypothesis (H1): At least one smartphone brand has a different rating.
The results of the ANOVA: Single Factor test are summarized below:
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
11.61 |
3 |
3.87 |
3.33 |
0.022 |
2.70 |
|
Within Groups |
106.88 |
92 |
1.16 |
|||
|
Total |
118.49 |
95 |
The P-value (0.022) is less than 0.05, which suggests that there is a significant difference between the brands.
Conclusion:
Based on the ANOVA results, we reject the null hypothesis. This indicates that at least one of the smartphone brands is rated significantly different from the others. Further analysis can help identify which specific brand or brands stand out in terms of customer satisfaction.